Yıl 2019, Cilt 24 , Sayı 2, Sayfalar 583 - 594 2019-08-30

Prediction of 1940 nm Fiber Laser Induced Thermal Damage Using Artificial Neural Networks
1940 NM FİBER LAZER KAYNAĞININ KARACİĞER DOKUSUNDAKİ ISIL HASARININ YAPAY SİNİR AĞLARI İLE TAHMİNİ

Fikret Yıldız [1]


These study presents relation between power and application time of 1940 nm laser source and thermal damage occurred on liver tissue using artificial neural networks (ANNs) method. Laser source with different powers and application times implemented on liver tissue until onset of coagulation and carbonization. Thermal damages occurred in horizontal and vertical direction have been experimentally measured and recorded. 70 % of this data was used to training ANN model, which was built in Matlab environment. Power and application time were defined as input parameters of model. Coagulation /carbonization occurrence, diameter and depth of thermal damages were used as output of model. This data was used to calculate and compare MSE value of five different learning algorithm (LM, GDA, GDX, CGP ve BFG). GDX algorithm with a 14 neuron in hidden layer, 2-14-3, was resulted in minimum MSE value (7.58E-2) and remaining untrained data was used to show prediction performance of GDX algorithm. ANN model outputs were compared with experimental results. It was shown that diameter and depth of coagulation and carbonization can be predicted using using ANN method with a minimum 2.7% and 3.6% success rate, respectively. According to these results, ANN assisted laser thermal therapies can provide more accurate treatment of undesired target tissue (tumor) with a minimal damage of surrounding healthy tissues. 

Bu çalışmada Yapay Sinir Ağları (YSA) yöntemi kullanılarak 1940 nm dalgaboyuna sahip lazer kaynağının karaciğer dokusu üzerinde oluşturduğu ısıl hasarların güç ve uygulama süreleri ile arasındaki ilişkisi incelenmiştir. Farklı güç değerlerine sahip lazer kaynağı koagülasyon ve karbonizasyon gözlenene kadar dokuya farklı sürelerde uygulanmıştır. Buna bağlı olarak radyal ve düşey yönde oluşan ısıl hasarlar deneysel olarak ölçülmüş ve kayıt altına alınmıştır. Bu kayıtların %70’i Matlab ortamında geliştirilen YSA modellerini eğitmek için kullanılmıştır. Lazer gücü ve uygulama süreleri model için giriş verileri, koagülasyon/karbonizasyon oluşma durumu ve oluşan ısıl hasarlar ise (çap, derinlik) modelin çıkış değerleri olarak kabul edilmiştir. Giriş verileri kullanılarak beş farklı öğrenme (LM, GDA, GDX, CGP ve BFG) algoritmasının en küçük kareler değeri (MSE) hesaplanmıştır ve karşılaştırılmıştır. Gizli katmanında 14 tane nörona sahip GDX, 2-14-3 yapısı, en iyi MSE (7.58E-2) sonucunu vermiştir ve eğitimde kullanılmayan veriler ile bu algoritmanın tahmin etme performansını test etmek için kullanılmıştır. Geliştirilen modelin ne kadar iyi çalıştığını anlamak için YSA tarafından tahmin edilen sonuçlar, deneysel sonuçlar ile karşılaştırılmıştır. Minimum %2.7 ve  % 3.6 hata oranı ile dokuda oluşan ısıl çap ve derinliklerinin tahmin edilebileceği gösterilmiştir. Bu sonuçlara göre, medikal uygulamalarda YSA yönteminin lazere yardımcı bir araç olarak kullanılması, çevre dokuların korunarak istenilen hedef bölgenin daha kontrollü ve daha yüksek doğrulukla tedavisini mümkün kılabilir.

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Birincil Dil tr
Konular Mühendislik
Bölüm Araştırma Makaleleri
Yazarlar

Yazar: Fikret Yıldız (Sorumlu Yazar)
Kurum: Hakkari University, Turkey
Ülke: Turkey


Tarihler

Başvuru Tarihi : 29 Mart 2018
Kabul Tarihi : 5 Ağustos 2019
Yayımlanma Tarihi : 30 Ağustos 2019

Bibtex @araştırma makalesi { uumfd410963, journal = {Uludağ University Journal of The Faculty of Engineering}, issn = {2148-4147}, eissn = {2148-4155}, address = {}, publisher = {Bursa Uludağ Üniversitesi}, year = {2019}, volume = {24}, pages = {583 - 594}, doi = {10.17482/uumfd.410963}, title = {1940 NM FİBER LAZER KAYNAĞININ KARACİĞER DOKUSUNDAKİ ISIL HASARININ YAPAY SİNİR AĞLARI İLE TAHMİNİ}, key = {cite}, author = {Yıldız, Fikret} }
APA Yıldız, F . (2019). 1940 NM FİBER LAZER KAYNAĞININ KARACİĞER DOKUSUNDAKİ ISIL HASARININ YAPAY SİNİR AĞLARI İLE TAHMİNİ. Uludağ University Journal of The Faculty of Engineering , 24 (2) , 583-594 . DOI: 10.17482/uumfd.410963
MLA Yıldız, F . "1940 NM FİBER LAZER KAYNAĞININ KARACİĞER DOKUSUNDAKİ ISIL HASARININ YAPAY SİNİR AĞLARI İLE TAHMİNİ". Uludağ University Journal of The Faculty of Engineering 24 (2019 ): 583-594 <https://dergipark.org.tr/tr/pub/uumfd/issue/45830/410963>
Chicago Yıldız, F . "1940 NM FİBER LAZER KAYNAĞININ KARACİĞER DOKUSUNDAKİ ISIL HASARININ YAPAY SİNİR AĞLARI İLE TAHMİNİ". Uludağ University Journal of The Faculty of Engineering 24 (2019 ): 583-594
RIS TY - JOUR T1 - 1940 NM FİBER LAZER KAYNAĞININ KARACİĞER DOKUSUNDAKİ ISIL HASARININ YAPAY SİNİR AĞLARI İLE TAHMİNİ AU - Fikret Yıldız Y1 - 2019 PY - 2019 N1 - doi: 10.17482/uumfd.410963 DO - 10.17482/uumfd.410963 T2 - Uludağ University Journal of The Faculty of Engineering JF - Journal JO - JOR SP - 583 EP - 594 VL - 24 IS - 2 SN - 2148-4147-2148-4155 M3 - doi: 10.17482/uumfd.410963 UR - https://doi.org/10.17482/uumfd.410963 Y2 - 2019 ER -
EndNote %0 Uludağ University Journal of The Faculty of Engineering 1940 NM FİBER LAZER KAYNAĞININ KARACİĞER DOKUSUNDAKİ ISIL HASARININ YAPAY SİNİR AĞLARI İLE TAHMİNİ %A Fikret Yıldız %T 1940 NM FİBER LAZER KAYNAĞININ KARACİĞER DOKUSUNDAKİ ISIL HASARININ YAPAY SİNİR AĞLARI İLE TAHMİNİ %D 2019 %J Uludağ University Journal of The Faculty of Engineering %P 2148-4147-2148-4155 %V 24 %N 2 %R doi: 10.17482/uumfd.410963 %U 10.17482/uumfd.410963
ISNAD Yıldız, Fikret . "1940 NM FİBER LAZER KAYNAĞININ KARACİĞER DOKUSUNDAKİ ISIL HASARININ YAPAY SİNİR AĞLARI İLE TAHMİNİ". Uludağ University Journal of The Faculty of Engineering 24 / 2 (Ağustos 2019): 583-594 . https://doi.org/10.17482/uumfd.410963
AMA Yıldız F . 1940 NM FİBER LAZER KAYNAĞININ KARACİĞER DOKUSUNDAKİ ISIL HASARININ YAPAY SİNİR AĞLARI İLE TAHMİNİ. JFE. 2019; 24(2): 583-594.
Vancouver Yıldız F . 1940 NM FİBER LAZER KAYNAĞININ KARACİĞER DOKUSUNDAKİ ISIL HASARININ YAPAY SİNİR AĞLARI İLE TAHMİNİ. Uludağ University Journal of The Faculty of Engineering. 2019; 24(2): 594-583.